Peer-reviewed veterinary case report
Using optical coherence tomography to detect lymph node spread
By Shen, Yi-Fan et al.·Published in Veterinary and comparative oncology·2026·Department of Veterinary Clinical Sciences, United States·View original on PubMed →
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Original publication title: Evaluation of Optical Coherence Tomography for Metastatic Lymph Node Identification in Canine Oral Malignant Melanoma.
- Species:
- dog
Plain-English summary
A group of 13 dogs with oral malignant melanoma (OMM) underwent surgery to remove their tumors and nearby lymph nodes. Researchers used a special imaging technique called optical coherence tomography (OCT) to help identify whether the lymph nodes had cancer spread. The OCT method showed a good ability to detect cancer in the lymph nodes, with about 75% accuracy in identifying metastatic lymph nodes. This technique could potentially help veterinarians make better decisions during surgery and reduce complications from unnecessary lymph node removal.
People also search for: dog oral melanoma treatment · canine lymph node cancer detection · optical coherence tomography for dogs
Abstract
Canine oral malignant melanoma (OMM) has a high potential for lymph node (LN) metastasis. Standard care involves surgical excision of the OMM with sentinel and draining LNs regardless of metastatic status but carries the risk of complications. Optical coherence tomography (OCT) is a rapid, noninvasive imaging modality that has been evaluated for LN metastasis detection in human breast cancer but not yet translated to canines. The purpose of this study was to (1) compare OCT imaging features from nonmetastatic and metastatic LNs with corresponding histopathology and (2) evaluate the diagnostic accuracy of OCT imaging in identifying metastatic LNs. Thirteen dogs with OMM were prospectively enrolled and sentinel LNs were identified by indirect computed tomography lymphography. OMM and draining LNs were surgically removed. Excised LNs (n = 50) from thirteen dogs were imaged with OCT and submitted for histopathology. OCT images of 18 LNs from the first five enrolled dogs were compared to histopathology to identify image features of metastatic and nonmetastatic LNs and identify images for observer training. The subsequent OCT images of 32 LNs of eight dogs were used to generate a test set for six observers with varying OCT experience for assessment of diagnostic accuracy. The sensitivity, specificity, and correct classification rate of OCT imaging for OMM LN metastasis in dogs was 75% (95% CI: 61.2%-85.1%), 76.6% (95% CI: 70.1%-82.0%), and 76.3% (95% CI: 70.5%-81.2%), respectively. OCT image features of nonmetastatic and metastatic LNs show diagnostic potential for intraoperative detection of OMM LN metastasis.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/41461178/